Luca Martino - RankMe

156 papers C 7Misc 15Journal 103Unranked 31

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A note on the area under the likelihood and the fake evidence for model selection. CoRR Luca Martino, Fernando Llorente
2026	J	`jnl`	An automatic counting algorithm for the quantification and uncertainty analysis of the number of microglial cells trainable in small and heterogeneous datasets. CoRR Luca Martino, M. M. Garcia, P. S. Paradas, Ernesto Curbelo
2026	J	`jnl`	An automatic counting algorithm for the quantification and uncertainty analysis of the number of microglial cells trainable in small and heterogeneous datasets. Expert Syst. Appl. Luca Martino, M. M. Garcia, P. S. Paradas, Ernesto Curbelo
2026	J	`jnl`	An index of effective number of variables for uncertainty and reliability analysis in model selection problems. CoRR Luca Martino, Eduardo Morgado, Roberto San Millán-Castillo
2026	J	`jnl`	Effective sample size approximations as entropy measures. CoRR Luca Martino, Víctor Elvira
2025	J	`jnl`	A note on the area under the likelihood and the fake evidence for model selection. Comput. Stat. Luca Martino, Fernando Llorente
2025	J	`jnl`	Adaptive posterior distributions for uncertainty analysis of covariance matrices in Bayesian inversion problems for multioutput signals. CoRR Ernesto Curbelo, Luca Martino, Fernando Llorente, David Delgado-Gómez
2025	J	`jnl`	Adaptive posterior distributions for uncertainty analysis of covariance matrices in Bayesian inversion problems for multioutput signals. J. Frankl. Inst. Ernesto Curbelo, Luca Martino, Fernando Llorente, David Delgado-Gómez
2025	J	`jnl`	An index of effective number of variables for uncertainty and reliability analysis in model selection problems. Signal Process. Luca Martino, Eduardo Morgado, Roberto San Millán-Castillo
2025	J	`jnl`	Corrigendum to "pyLAIS: A Python package for Layered Adaptive Importance Sampling" [SoftwareX 29 (2025), 101976]. SoftwareX Ernesto Curbelo, Luca Martino, David Delgado-Gómez
2025	J	`jnl`	Data-driven informative priors for Bayesian inference with quasi-periodic data. CoRR Javier López-Santiago, Luca Martino, Joaquín Míguez, Gonzalo Vazquez-Vilar
2025	J	`jnl`	Effective sample size approximations as entropy measures. Comput. Stat. Luca Martino, Víctor Elvira
2025	—	`conf`	Enhancing Graphical Lasso: A Robust Scheme for Non-Stationary Mean Data. EUSIPCO Samuel Rey, Ernesto Curbelo, Luca Martino, Fernando Llorente, Antonio G. Marqués
2025	J	`jnl`	Enhancing Graphical Lasso: A Robust Scheme for Non-Stationary Mean Data. CoRR Samuel Rey, Ernesto Curbelo, Luca Martino, Fernando Llorente, Antonio G. Marques
2025	J	`jnl`	Feature Selection via Graph Topology Inference for Soundscape Emotion Recognition. CoRR Samuel Rey, Luca Martino, Roberto San Millan, Eduardo Morgado
2025	J	`jnl`	Optimality in importance sampling: a gentle survey. CoRR Fernando Llorente, Luca Martino
2025	—	`conf`	Scoring Functions to Evaluate the Rankings Methods for Variable Selection. EUSIPCO M. Marinescu, Grace Villacrés, Luca Martino, Ó. Barquero
2025	J	`jnl`	Target-aware Bayesian inference via generalized thermodynamic integration. CoRR Fernando Llorente, Luca Martino, David Delgado-Gómez
2025	J	`jnl`	pyLAIS: A Python package for Layered Adaptive Importance Sampling. SoftwareX Ernesto Curbelo, Luca Martino, David Delgado-Gómez
2024	J	`jnl`	A Variable Selection Analysis for Soundscape Emotion Modeling Using Decision Tree Regression and Modern Information Criteria. IEEE Access Roberto San Millán-Castillo, Luca Martino, Eduardo Morgado
2024	J	`jnl`	Microfluidic Detection of SPIONs and Co-Ferrite Ferrofluid Using Amorphous Wire Magneto-Impedance Sensor. Sensors Gabriele Barrera, Federica Celegato, Marta Vassallo, Daniele Martella, Marco Coisson, Elena Olivetti, Luca Martino, Hüseyin Sözeri, Alessandra Manzin, Paola Tiberto
2024	J	`jnl`	Multioutput Feature Selection for Emulation and Sensitivity Analysis. IEEE Trans. Geosci. Remote. Sens. Jorge Vicent Servera, Luca Martino, Jochem Verrelst, Juan Pablo Rivera Caicedo, Gustau Camps-Valls
2023	J	`jnl`	Gradient-based adaptive importance samplers. J. Frankl. Inst. Víctor Elvira, Emilie Chouzenoux, Ömer Deniz Akyildiz, Luca Martino
2023	J	`jnl`	Inference over radiative transfer models using variational and expectation maximization methods. Mach. Learn. Daniel Heestermans Svendsen, Daniel Hernández-Lobato, Luca Martino, Valero Laparra, Álvaro Moreno-Martínez, Gustau Camps-Valls
2023	J	`jnl`	Marginal Likelihood Computation for Model Selection and Hypothesis Testing: An Extensive Review. SIAM Rev. Fernando Llorente, Luca Martino, David Delgado, Javier López-Santiago
2023	J	`jnl`	Multifidelity Gaussian Process Emulation for Atmospheric Radiative Transfer Models. IEEE Trans. Geosci. Remote. Sens. Jorge Vicent Servera, Luca Martino, Jochem Verrelst, Gustau Camps-Valls
2023	J	`jnl`	Spectral information criterion for automatic elbow detection. CoRR Luca Martino, Roberto San Millán-Castillo, Eduardo Morgado
2023	J	`jnl`	Spectral information criterion for automatic elbow detection. Expert Syst. Appl. Luca Martino, Roberto San Millán-Castillo, Eduardo Morgado
2023	J	`jnl`	Target-aware Bayesian inference via generalized thermodynamic integration. Comput. Stat. Fernando Llorente, Luca Martino, David Delgado
2023	J	`jnl`	Universal and Automatic Elbow Detection for Learning the Effective Number of Components in Model Selection Problems. CoRR Eduardo Morgado, Luca Martino, Roberto San Millán-Castillo
2023	J	`jnl`	Universal and automatic elbow detection for learning the effective number of components in model selection problems. Digit. Signal Process. Eduardo Morgado, Luca Martino, Roberto San Millán-Castillo
2022	J	`jnl`	An Exhaustive Variable Selection Study for Linear Models of Soundscape Emotions: Rankings and Gibbs Analysis. IEEE ACM Trans. Audio Speech Lang. Process. Roberto San Millán-Castillo, Luca Martino, Eduardo Morgado, Fernando Llorente
2022	J	`jnl`	An exhaustive variable selection study for linear models of soundscape emotions: rankings and Gibbs analysis. CoRR Roberto San Millán-Castillo, Luca Martino, Eduardo Morgado, Fernando Llorente
2022	—	`conf`	CAMEO: Curiosity Augmented Metropolis for Exploratory Optimal Policies. EUSIPCO Mohamed Alami Chehboune, Rim Kaddah, Luca Martino, Fernando Llorente, Jesse Read
2022	J	`jnl`	CAMEO: Curiosity Augmented Metropolis for Exploratory Optimal Policies. CoRR Mohamed Alami Chehboune, Fernando Llorente, Rim Kaddah, Luca Martino, Jesse Read
2022	J	`jnl`	Design and Characterization of an RF Applicator for In Vitro Tests of Electromagnetic Hyperthermia. Sensors Riccardo Ferrero, Ioannis Androulakis, Luca Martino, Robin Nadar, Gerard C. Van Rhoon, Alessandra Manzin
2022	J	`jnl`	Inference over radiative transfer models using variational and expectation maximization methods. CoRR Daniel Heestermans Svendsen, Daniel Hernández-Lobato, Luca Martino, Valero Laparra, Álvaro Moreno, Gustau Camps-Valls
2022	J	`jnl`	Integrating Domain Knowledge in Data-Driven Earth Observation With Process Convolutions. IEEE Trans. Geosci. Remote. Sens. Daniel Heestermans Svendsen, Maria Piles, Jordi Muñoz-Marí, David Luengo, Luca Martino, Gustau Camps-Valls
2022	J	`jnl`	Optimality in Noisy Importance Sampling. CoRR Fernando Llorente, Luca Martino, Jesse Read, David Delgado-Gómez
2022	J	`jnl`	Optimality in noisy importance sampling. Signal Process. Fernando Llorente, Luca Martino, Jesse Read, David Delgado-Gómez
2022	J	`jnl`	Retrieval of Physical Parameters With Deep Structured Kernel Regression. IEEE Trans. Geosci. Remote. Sens. Gustau Camps-Valls, Manuel Campos-Taberner, Valero Laparra, Luca Martino, Jordi Muñoz-Marí
2022	—	`conf`	Safe importance sampling based on partial posteriors and neural variational approximations. EUSIPCO Fernando Llorente, Ernesto Curbelo, Luca Martino, Pablo M. Olmos, David Delgado
2021	—	`conf`	A Nearest Neighbors Quadrature for Posterior Approximation via Adaptive Sequential Design. SSP Fernando Llorente, Luca Martino, Víctor Elvira, David Delgado
2021	J	`jnl`	A Survey of Active Learning for Quantifying Vegetation Traits from Terrestrial Earth Observation Data. Remote. Sens. Katja Berger, Juan Pablo Rivera Caicedo, Luca Martino, Matthias Wocher, Tobias Hank, Jochem Verrelst
2021	J	`jnl`	A Survey of Monte Carlo Methods for Parameter Estimation. CoRR David Luengo, Luca Martino, Mónica F. Bugallo, Victor Elvira, Simo Särkkä
2021	J	`jnl`	A joint introduction to Gaussian Processes and Relevance Vector Machines with connections to Kalman filtering and other kernel smoothers. Inf. Fusion Luca Martino, Jesse Read
2021	J	`jnl`	A survey of Monte Carlo methods for noisy and costly densities with application to reinforcement learning. CoRR Fernando Llorente, Luca Martino, Jessa Read, David Delgado
2021	J	`jnl`	Automatic tempered posterior distributions for Bayesian inversion problems. CoRR Luca Martino, Fernando Llorente, Ernesto Curbelo, Javier López-Santiago, Joaquín Míguez
2021	J	`jnl`	Compressed Monte Carlo with application in particle filtering. CoRR Luca Martino, Víctor Elvira
2021	J	`jnl`	Compressed Monte Carlo with application in particle filtering. Inf. Sci. Luca Martino, Víctor Elvira
2021	J	`jnl`	Compressed Particle Methods for Expensive Models With Application in Astronomy and Remote Sensing. IEEE Trans. Aerosp. Electron. Syst. Luca Martino, Víctor Elvira, Javier López-Santiago, Gustau Camps-Valls
2021	J	`jnl`	Compressed particle methods for expensive models with application in Astronomy and Remote Sensing. CoRR Luca Martino, Víctor Elvira, Javier López-Santiago, Gustau Camps-Valls
2021	C	`conf`	Cyclone Monitoring with Sentinel-1: Service Demonstration. IGARSS Romain Husson, Alexis Mouche, Nicolas Longépé, Olivier Archer, Gaël Goimard, Emina Mamaca, Henrick Berger, François Soulat, Marie-Hélène Rio, Luca Martino, Pierre Potin
2021	J	`jnl`	Deep importance sampling based on regression for model inversion and emulation. Digit. Signal Process. Fernando Llorente, Luca Martino, David Delgado-Gómez, Gustavo Camps-Valls
2021	J	`jnl`	Importance Gaussian Quadrature. IEEE Trans. Signal Process. Víctor Elvira, Luca Martino, Pau Closas
2021	J	`jnl`	Integrating Domain Knowledge in Data-driven Earth Observation with Process Convolutions. CoRR Daniel Heestermans Svendsen, Maria Piles, Jordi Muñoz-Marí, David Luengo, Luca Martino, Gustau Camps-Valls
2021	J	`jnl`	MCMC-driven importance samplers. CoRR Fernando Llorente, Ernesto Curbelo, Luca Martino, Victor Elvira, David Delgado
2021	C	`conf`	Physics-Aware Machine Learning for Geosciences and Remote Sensing. IGARSS Gustau Camps-Valls, Daniel H. Svendsen, Jordi Cortés-Andrés, Álvaro Moreno-Martínez, Adrián Pérez-Suay, José E. Adsuara, Irene Martín, Maria Piles, Jordi Muñoz-Marí, Luca Martino
2020	J	`jnl`	A survey of Monte Carlo methods for parameter estimation. EURASIP J. Adv. Signal Process. David Luengo, Luca Martino, Mónica F. Bugallo, Víctor Elvira, Simo Särkkä
2020	J	`jnl`	Active emulation of computer codes with Gaussian processes - Application to remote sensing. Pattern Recognit. Daniel Heestermans Svendsen, Luca Martino, Gustau Camps-Valls
2020	J	`jnl`	Adaptive Quadrature Schemes for Bayesian Inference via Active Learning. IEEE Access Fernando Llorente-Fernández, Luca Martino, Victor Elvira, David Delgado, Javier López-Santiago
2020	Misc	`conf`	Adaptive Sequential Interpolator Using Active Learning for Efficient Emulation of Complex Systems. ICASSP Luca Martino, Daniel Heestermans Svendsen, Jorge Vicent, Gustau Camps-Valls
2020	J	`jnl`	Adaptive quadrature schemes for Bayesian inference via active learning. CoRR Fernando Llorente, Luca Martino, Víctor Elvira, David Delgado, Javier López-Santiago
2020	J	`jnl`	Deep Importance Sampling based on Regression for Model Inversion and Emulation. CoRR Fernando Llorente, Luca Martino, David Delgado, Gustau Camps-Valls
2020	J	`jnl`	Gradient-based Automatic Look-Up Table Generator for Atmospheric Radiative Transfer Models. CoRR Jorge Vicent, Luis Alonso, Luca Martino, Neus Sabater, Jochem Verrelst, Gustau Camps-Valls
2020	J	`jnl`	Joint introduction to Gaussian Processes and Relevance Vector Machines with Connections to Kalman filtering and other Kernel Smoothers. CoRR Luca Martino, Jesse Read
2020	J	`jnl`	Living in the Physics and Machine Learning Interplay for Earth Observation. CoRR Gustau Camps-Valls, Daniel H. Svendsen, Jordi Cortés-Andrés, Álvaro Moreno-Martínez, Adrián Pérez-Suay, José E. Adsuara, Irene Martín, Maria Piles, Jordi Muñoz-Marí, Luca Martino
2020	J	`jnl`	Marginal likelihood computation for model selection and hypothesis testing: an extensive review. CoRR Fernando Llorente, Luca Martino, David Delgado, Javier López-Santiago
2020	—	`conf`	On the computation of marginal likelihood via MCMC for model selection and hypothesis testing. EUSIPCO Fernando Llorente, Luca Martino, David Delgado-Gómez, Javier López-Santiago
2020	—	`conf`	Overparametrized Deep Encoder-Decoder Schemes for Inputs and Outputs Defined over Graphs. EUSIPCO Samuel Rey, Victor Tenorio, Sergio Rozada, Luca Martino, Antonio G. Marques
2020	Misc	`conf`	Particle Group Metropolis Methods for Tracking the Leaf Area Index. ICASSP Luca Martino, Víctor Elvira, Gustau Camps-Valls
2020	J	`jnl`	Probabilistic regressor chains with Monte Carlo methods. Neurocomputing Jesse Read, Luca Martino
2020	J	`jnl`	Specific Loss Power of Co/Li/Zn-Mixed Ferrite Powders for Magnetic Hyperthermia. Sensors Gabriele Barrera, Marco Coisson, Federica Celegato, Luca Martino, Priyanka Tiwari, Roshni Verma, Shashank N. Kane, Frédéric Mazaleyrat, Paola Tiberto
2019	J	`jnl`	Active emulation of computer codes with Gaussian processes - Application to remote sensing. CoRR Daniel Heestermans Svendsen, Luca Martino, Gustau Camps-Valls
2019	J	`jnl`	Adaptive rejection sampling with fixed number of nodes. Commun. Stat. Simul. Comput. Luca Martino, Francisco Louzada
2019	Misc	`conf`	Deep Encoder-Decoder Neural Network Architectures for Graph Output Signals. ACSSC Samuel Rey, Victor Tenorio, Sergio Rozada, Luca Martino, Antonio G. Marques
2019	—	`conf`	Efficient Adaptive Multiple Importance Sampling. EUSIPCO Yousef El-Laham, Luca Martino, Víctor Elvira, Mónica F. Bugallo
2019	J	`jnl`	Elucidating the Auxiliary Particle Filter via Multiple Importance Sampling [Lecture Notes]. IEEE Signal Process. Mag. Victor Elvira, Luca Martino, Mónica F. Bugallo, Petar M. Djuric
2019	J	`jnl`	Extremely efficient acceptance-rejection method for simulating uncorrelated Nakagami fading channels. Commun. Stat. Simul. Comput. Luca Martino, David Luengo
2019	—	`conf`	Gauss-Hermite Quadrature for non-Gaussian Inference via an Importance Sampling Interpretation. EUSIPCO Victor Elvira, Pau Closas, Luca Martino
2019	J	`jnl`	Geosystemics View of Earthquakes. Entropy Angelo De Santis, Cristoforo Abbattista, Lucilla Alfonsi, Leonardo Amoruso, Saioa A. Campuzano, Marianna Carbone, Claudio Cesaroni, Gianfranco Cianchini, Giorgiana De Franceschi, Anna De Santis, Rita Di Giovambattista, Dedalo Marchetti, Luca Martino, Loredana Perrone, Alessandro Piscini, Mario Luigi Rainone, Maurizio Soldani, Luca Spogli, Francesca Santoro
2019	J	`jnl`	Gradient-Based Automatic Lookup Table Generator for Radiative Transfer Models. IEEE Trans. Geosci. Remote. Sens. Jorge Vicent Servera, Luis Alonso, Luca Martino, Neus Sabater, Jochem Verrelst, Gustau Camps-Valls, José F. Moreno
2019	J	`jnl`	Parallel Metropolis-Hastings Coupler. IEEE Signal Process. Lett. Fernando Llorente, Luca Martino, David Delgado
2019	J	`jnl`	Probabilistic Regressor Chains with Monte Carlo Methods. CoRR Jesse Read, Luca Martino
2019	C	`conf`	Sentinel-1 Contribution To Tropical Cyclones Observations At High Resolution. IGARSS Alexis Mouche, François Soulat, Pierre Potin, Luca Martino
2018	—	`conf`	A Comparison Of Clipping Strategies For Importance Sampling. SSP Luca Martino, Victor Elvira, Joaquín Míguez, Antonio Artés-Rodríguez, Petar M. Djuric
2018	J	`jnl`	A review of multiple try MCMC algorithms for signal processing. Digit. Signal Process. Luca Martino
2018	J	`jnl`	Adaptive independent sticky MCMC algorithms. EURASIP J. Adv. Signal Process. Luca Martino, Roberto Casarin, Fabrizio Leisen, David Luengo
2018	—	`conf`	Distributed Particle Metropolis-Hastings Schemes. SSP Luca Martino, Victor Elvira, Gustau Camps-Valls
2018	J	`jnl`	Efficient linear fusion of partial estimators. Digit. Signal Process. David Luengo, Luca Martino, Víctor Elvira, Mónica F. Bugallo
2018	J	`jnl`	Group Importance Sampling for particle filtering and MCMC. Digit. Signal Process. Luca Martino, Víctor Elvira, Gustau Camps-Valls
2018	—	`conf`	In Search for Improved Auxiliary Particle Filters. EUSIPCO Victor Elvira, Luca Martino, Mónica F. Bugallo, Petar M. Djuric
2018	C	`conf`	Interpolation and Gap Filling of Landsat Reflectance Time Series. IGARSS Álvaro Moreno-Martínez, Marco P. Maneta, Gustau Camps-Valls, Luca Martino, Nathaniel P. Robinson, Brady W. Allred, Steven W. Running
2018	J	`jnl`	Joint Gaussian Processes for Biophysical Parameter Retrieval. IEEE Trans. Geosci. Remote. Sens. Daniel Heestermans Svendsen, Luca Martino, Manuel Campos-Taberner, Francisco Javier García-Haro, Gustau Camps-Valls
2018	C	`conf`	Multioutput Automatic Emulator for Radiative Transfer Models. IGARSS Daniel Heestermans Svendsen, Luca Martino, Jorge Vicent, Gustau Camps-Valls
2018	J	`jnl`	Physics-aware Gaussian processes in remote sensing. Appl. Soft Comput. Gustau Camps-Valls, Luca Martino, Daniel H. Svendsen, Manuel Campos-Taberner, Jordi Muñoz-Marí, Valero Laparra, David Luengo, Francisco Javier García-Haro
2018	J	`jnl`	The Recycling Gibbs sampler for efficient learning. Digit. Signal Process. Luca Martino, Víctor Elvira, Gustau Camps-Valls
2017	J	`jnl`	Adaptive Importance Sampling: The past, the present, and the future. IEEE Signal Process. Mag. Mónica F. Bugallo, Victor Elvira, Luca Martino, David Luengo, Joaquín Míguez, Petar M. Djuric
2017	—	`conf`	Anti-tempered layered adaptive importance sampling. DSP Luca Martino, Victor Elvira, David Luengo
2017	—	`conf`	Automatic Emulation by Adaptive Relevance Vector Machines. SCIA (1) Luca Martino, Jorge Vicent, Gustau Camps-Valls
2017	C	`conf`	Automatic emulator and optimized look-up table generation for radiative transfer models. IGARSS Luca Martino, Jorge Vicent, Gustau Camps-Valls
2017	J	`jnl`	Cooperative parallel particle filters for online model selection and applications to urban mobility. Digit. Signal Process. Luca Martino, Jesse Read, Víctor Elvira, Francisco Louzada
2017	J	`jnl`	Effective sample size for importance sampling based on discrepancy measures. Signal Process. Luca Martino, Víctor Elvira, Francisco Louzada
2017	J	`jnl`	Group Importance Sampling for Particle Filtering and MCMC. CoRR Luca Martino, Victor Elvira, Gustau Camps-Valls
2017	—	`conf`	Group metropolis sampling. EUSIPCO Luca Martino, Victor Elvira, Gustau Camps-Valls
2017	J	`jnl`	Improving population Monte Carlo: Alternative weighting and resampling schemes. Signal Process. Víctor Elvira, Luca Martino, David Luengo, Mónica F. Bugallo
2017	J	`jnl`	Issues in the Multiple Try Metropolis mixing. Comput. Stat. Luca Martino, Francisco Louzada
2017	J	`jnl`	Joint Gaussian Processes for Biophysical Parameter Retrieval. CoRR Daniel Heestermans Svendsen, Luca Martino, Manuel Campos-Taberner, Francisco Javier García-Haro, Gustau Camps-Valls
2017	C	`conf`	Joint Gaussian processes for inverse modeling. IGARSS Daniel Heestermans Svendsen, Luca Martino, Manuel Campos-Taberner, Gustau Camps-Valls
2017	J	`jnl`	Layered adaptive importance sampling. Stat. Comput. Luca Martino, Victor Elvira, David Luengo, Jukka Corander
2017	J	`jnl`	Multi-label methods for prediction with sequential data. Pattern Recognit. Jesse Read, Luca Martino, Jaakko Hollmén
2017	—	`conf`	Physics-Aware Gaussian Processes for Earth Observation. SCIA (2) Gustau Camps-Valls, Daniel H. Svendsen, Luca Martino, Jordi Muñoz-Marí, Valero Laparra, Manuel Campos-Taberner, David Luengo
2017	—	`conf`	Population Monte Carlo schemes with reduced path degeneracy. CAMSAP Victor Elvira, Luca Martino, David Luengo, Mónica F. Bugallo
2017	—	`conf`	Probabilistic cross-validation estimators for Gaussian process regression. EUSIPCO Luca Martino, Valero Laparra, Gustau Camps-Valls
2017	—	`conf`	Recycling Gibbs sampling. EUSIPCO Luca Martino, Victor Elvira, Gustau Camps-Valls
2016	—	`conf`	A Monte Carlo scheme for node-specific inference over wireless sensor networks. SAM Luca Martino, Jorge Plata-Chaves, Francisco Louzada
2016	Misc	`conf`	A new strategy for effective learning in population Monte Carlo sampling. ACSSC Mónica F. Bugallo, Victor Elvira, Luca Martino
2016	—	`conf`	Adaptive population importance samplers: A general perspective. SAM Luca Martino, Victor Elvira, David Luengo, Francisco Louzada
2016	—	`conf`	Alternative effective sample size measures for importance sampling. SSP Luca Martino, Victor Elvira, Francisco Louzada
2016	J	`jnl`	Heretical Multiple Importance Sampling. IEEE Signal Process. Lett. Victor Elvira, Luca Martino, David Luengo, Mónica F. Bugallo
2016	J	`jnl`	Multi-label Methods for Prediction with Sequential Data. CoRR Jesse Read, Luca Martino, Jaakko Hollmén
2016	—	`conf`	Multiple importance sampling with overlapping sets of proposals. SSP Victor Elvira, Luca Martino, David Luengo, Mónica F. Bugallo
2016	J	`jnl`	Orthogonal parallel MCMC methods for sampling and optimization. Digit. Signal Process. Luca Martino, Víctor Elvira, David Luengo, Jukka Corander, Francisco Louzada
2016	Misc	`conf`	Parallel metropolis chains with cooperative adaptation. ICASSP Luca Martino, Victor Elvira, David Luengo, Francisco Louzada
2016	—	`conf`	Sticky proposal densities for adaptive MCMC methods. SSP Luca Martino, Roberto Casarin, David Luengo
2016	J	`jnl`	The Recycling Gibbs Sampler for Efficient Learning. CoRR Luca Martino, Victor Elvira, Gustau Camps-Valls
2016	—	`conf`	Weighting a resampled particle in Sequential Monte Carlo. SSP Luca Martino, Victor Elvira, Francisco Louzada
2015	J	`jnl`	A fast universal self-tuned sampler within Gibbs sampling. Digit. Signal Process. Luca Martino, H. Yang, David Luengo, Juho Kanniainen, Jukka Corander
2015	Misc	`conf`	A gradient adaptive population importance sampler. ICASSP Víctor Elvira, Luca Martino, David Luengo, Jukka Corander
2015	J	`jnl`	Adaptive importance sampling in signal processing. Digit. Signal Process. Mónica F. Bugallo, Luca Martino, Jukka Corander
2015	J	`jnl`	An Adaptive Population Importance Sampler: Learning From Uncertainty. IEEE Trans. Signal Process. Luca Martino, Victor Elvira, David Luengo, Jukka Corander
2015	—	`conf`	Bias correction for distributed Bayesian estimators. CAMSAP David Luengo, Luca Martino, Victor Elvira, Mónica F. Bugallo
2015	J	`jnl`	Efficient Multiple Importance Sampling Estimators. IEEE Signal Process. Lett. Victor Elvira, Luca Martino, David Luengo, Mónica F. Bugallo
2015	Misc	`conf`	Efficient linear combination of partial Monte Carlo estimators. ICASSP David Luengo, Luca Martino, Víctor Elvira, Mónica F. Bugallo
2015	J	`jnl`	Independent Doubly Adaptive Rejection Metropolis Sampling Within Gibbs Sampling. IEEE Trans. Signal Process. Luca Martino, Jesse Read, David Luengo
2015	J	`jnl`	Layered Adaptive Importance Sampling. CoRR Luca Martino, Victor Elvira, David Luengo, Jukka Corander
2015	Misc	`conf`	On sample generation and weight calculation in multiple importance sampling. ACSSC Victor Elvira, Luca Martino, David Luengo, Mónica F. Bugallo
2015	—	`conf`	Parallel interacting Markov adaptive importance sampling. EUSIPCO Luca Martino, Victor Elvira, David Luengo, Jukka Corander
2015	J	`jnl`	Scalable Multi-Output Label Prediction: From Classifier Chains to Classifier Trellises. CoRR Jesse Read, Luca Martino, Pablo M. Olmos, David Luengo
2015	J	`jnl`	Scalable multi-output label prediction: From classifier chains to classifier trellises. Pattern Recognit. Jesse Read, Luca Martino, Pablo M. Olmos, David Luengo
2015	Misc	`conf`	Smelly parallel MCMC chains. ICASSP Luca Martino, Víctor Elvira, David Luengo, Antonio Artés-Rodríguez, Jukka Corander
2014	Misc	`conf`	An adaptive population importance sampler. ICASSP Luca Martino, Victor Elvira, David Luengo, Jukka Corander
2014	J	`jnl`	Efficient monte carlo methods for multi-dimensional learning with classifier chains. Pattern Recognit. Jesse Read, Luca Martino, David Luengo
2014	Misc	`conf`	Independent doubly Adaptive Rejection Metropolis Sampling. ICASSP Luca Martino, Jesse Read, David Luengo
2014	Misc	`conf`	Monte Carlo limit cycle characterization. ICASSP David Luengo, David Oses, Luca Martino
2014	—	`conf`	Orthogonal MCMC algorithms. SSP Luca Martino, Victor Elvira, David Luengo, Antonio Artés-Rodríguez, Jukka Corander
2013	Misc	`conf`	Efficient monte carlo optimization for multi-label classifier chains. ICASSP Jesse Read, Luca Martino, David Luengo
2013	Misc	`conf`	Fully adaptive Gaussian mixture Metropolis-Hastings algorithm. ICASSP David Luengo, Luca Martino
2013	J	`jnl`	On the flexibility of the design of multiple try Metropolis schemes. Comput. Stat. Luca Martino, Jesse Read
2012	J	`jnl`	Efficient Monte Carlo Optimization for Multi-label Classifier Chains CoRR Jesse Read, Luca Martino, David Luengo
2011	J	`jnl`	A generalization of the adaptive rejection sampling algorithm. Stat. Comput. Luca Martino, Joaquín Míguez
2010	—	`conf`	A rejection sampling scheme for posterior probability distributions via the ratio-of-uniforms method. EUSIPCO Luca Martino, Joaquín Míguez
2010	J	`jnl`	Generalized rejection sampling schemes and applications in signal processing. Signal Process. Luca Martino, Joaquín Míguez
2009	—	`conf`	A multi-model particle filtering algorithm for indoor tracking of mobile terminals using RSS data. CCA/ISIC Katrin Achutegui, Luca Martino, Javier Rodas, Carlos J. Escudero, Joaquín Míguez
2009	Misc	`conf`	A novel rejection sampling scheme for posterior probability distributions. ICASSP Luca Martino, Joaquín Míguez
2009	—	`conf`	New accept/reject methods for independent sampling from posterior probability distributions. EUSIPCO Luca Martino, Joaquín Míguez